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Learning R for Data Visualization
Learning R for Data Visualization
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 436 MB
Genre: eLearning | Language: English

R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level graphics, and machine learning. R gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way.
The course is structured in simple lessons so that the learning process feels like a step-by-step guide to Descriptionting. We start by importing data in R from popular formats such as CSV and Excel tables. Then you will learn how to create basic Descriptions such as histograms, scatterDescriptions, and more, with the default options, which guarantees stunning results.
The second part of the course is dedicated to interactive Descriptions. Static Descriptions, in fact, are extremely important for scientific manuscripts, but nowadays most of our work is done online on websites and blogs, where static Descriptions do not harness the full potential of the technology. Interactive Descriptions, on the other hand, can improve that and allow us to present our results in more appealing and informative ways, by using the native language of the web. Do not worry though, you will not need to learn an additional programming language because this course will show you how to create stunning web Descriptions directly from R.
In the final part of the course, the Shiny package will be extensively discussed. This allows you to create fully-featured web pages directly from the R console, and Shiny also allows it to be uploaded to a live website where your peers and colleagues can browse it and you can share your work. You will see how to build a complete website to import and Description data, plus we will present a method to upload it for everybody to use. Finally, you will revise all the concepts you've learned while having some fun creating a complete website.

Learning R for Data Visualization

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Views: 44 | Tutorials/E-learnings
3-05-2018, 15:15
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